Linqi Yu

564 total citations
16 papers, 378 citations indexed

About

Linqi Yu is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Linqi Yu has authored 16 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Mechanics, 8 papers in Statistical and Nonlinear Physics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Linqi Yu's work include Fluid Dynamics and Turbulent Flows (14 papers), Model Reduction and Neural Networks (8 papers) and Advanced Image Processing Techniques (3 papers). Linqi Yu is often cited by papers focused on Fluid Dynamics and Turbulent Flows (14 papers), Model Reduction and Neural Networks (8 papers) and Advanced Image Processing Techniques (3 papers). Linqi Yu collaborates with scholars based in South Korea, Sweden and Spain. Linqi Yu's co-authors include Hee-Chang Lim, Mustafa Z. Yousif, Ricardo Vinuesa, Meng Zhang, Sergio Hoyas, Haifeng Zhou, Jung Sub Lee, Jean Rabault, Meng Zhang and Young-Woo Lee and has published in prestigious journals such as Journal of Fluid Mechanics, Scientific Reports and Physics of Fluids.

In The Last Decade

Linqi Yu

15 papers receiving 369 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Linqi Yu South Korea	9	279	154	100	95	58	16	378
Mustafa Z. Yousif South Korea	11	327 1.2×	172 1.1×	101 1.0×	120 1.3×	80 1.4×	24	442
Alejandro Güemes Spain	7	271 1.0×	202 1.3×	60 0.6×	99 1.0×	50 0.9×	13	363
Luca Guastoni Sweden	5	329 1.2×	263 1.7×	32 0.3×	110 1.2×	55 0.9×	12	432
Linyang Zhu China	6	353 1.3×	277 1.8×	23 0.2×	191 2.0×	55 0.9×	11	452
Kazuto Hasegawa Japan	5	210 0.8×	196 1.3×	25 0.3×	86 0.9×	30 0.5×	6	305
Benjamin Leclaire France	11	332 1.2×	40 0.3×	73 0.7×	159 1.7×	77 1.3×	28	423
Carlos Sanmiguel Vila Spain	12	356 1.3×	94 0.6×	31 0.3×	141 1.5×	122 2.1×	25	437
Wenhui Peng China	8	139 0.5×	116 0.8×	16 0.2×	69 0.7×	50 0.9×	13	237
Zelong Yuan China	13	424 1.5×	195 1.3×	19 0.2×	103 1.1×	178 3.1×	33	521
Miguel Alfonso Mendez Belgium	13	313 1.1×	94 0.6×	20 0.2×	153 1.6×	52 0.9×	60	495

Countries citing papers authored by Linqi Yu

Since Specialization

Citations

This map shows the geographic impact of Linqi Yu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Linqi Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linqi Yu more than expected).

Fields of papers citing papers by Linqi Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linqi Yu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Linqi Yu. The network helps show where Linqi Yu may publish in the future.

Co-authorship network of co-authors of Linqi Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Linqi Yu. A scholar is included among the top collaborators of Linqi Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Linqi Yu. Linqi Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Yu, Linqi, Meng Zhang, Chinsuk Hong, et al.. (2025). Deep learning approach-based prediction of transfer functions in structure-acoustic coupling models. Results in Engineering. 28. 108054–108054. 1 indexed citations

Yu, Linqi, et al.. (2025). Three-dimensional super-resolution reconstruction of turbulent flow using 3D-ESRGAN with random sampling strategy. Computers & Fluids. 305. 106890–106890.

Yu, Linqi, Mustafa Z. Yousif, Young-Woo Lee, et al.. (2024). Predicting unavailable parameters from existing velocity fields of turbulent flows using a GAN-based model. Physical Review Fluids. 9(2). 1 indexed citations

Zhang, Meng, Mustafa Z. Yousif, Linqi Yu, & Hee-Chang Lim. (2024). Enhanced retrospective forecasting in dissipative dynamical systems using transformer and multi-scale ESRGAN models. Results in Engineering. 24. 103597–103597. 2 indexed citations

Yu, Linqi, Mustafa Z. Yousif, Dan Zhou, et al.. (2024). Self-supervised learning for effective denoising of flow fields. Physics of Fluids. 36(10). 2 indexed citations

Yousif, Mustafa Z., Dan Zhou, Linqi Yu, et al.. (2024). Flow field recovery in restricted domains using a generative adversarial network framework. Physics of Fluids. 36(12). 1 indexed citations

Yousif, Mustafa Z., et al.. (2023). Physics-constrained deep reinforcement learning for flow field denoising. Journal of Fluid Mechanics. 973. 13 indexed citations

Zhang, Meng, Mustafa Z. Yousif, Linqi Yu, & Hee-Chang Lim. (2023). A Swin-transformer-based model for efficient compression of turbulent flow data. Physics of Fluids. 35(8). 10 indexed citations

Yousif, Mustafa Z., Meng Zhang, Linqi Yu, Ricardo Vinuesa, & Hee-Chang Lim. (2023). A transformer-based synthetic-inflow generator for spatially developing turbulent boundary layers. Journal of Fluid Mechanics. 957. 59 indexed citations

10.

Yousif, Mustafa Z., Meng Zhang, Linqi Yu, et al.. (2023). Optimizing flow control with deep reinforcement learning: Plasma actuator placement around a square cylinder. Physics of Fluids. 35(12). 11 indexed citations

11.

Yousif, Mustafa Z., et al.. (2023). Flow Control Over a Finite Wall-Mounted Square Cylinder by Using Multiple Plasma Actuators. Journal of Fluids Engineering. 146(6). 6 indexed citations

12.

Yousif, Mustafa Z., Linqi Yu, Sergio Hoyas, Ricardo Vinuesa, & Hee-Chang Lim. (2023). A deep-learning approach for reconstructing 3D turbulent flows from 2D observation data. Scientific Reports. 13(1). 2529–2529. 64 indexed citations

13.

Yousif, Mustafa Z., Linqi Yu, & Hee-Chang Lim. (2022). Physics-guided deep learning for generating turbulent inflow conditions. Journal of Fluid Mechanics. 936. 44 indexed citations

14.

Yu, Linqi, Mustafa Z. Yousif, Meng Zhang, et al.. (2022). Three-dimensional ESRGAN for super-resolution reconstruction of turbulent flows with tricubic interpolation-based transfer learning. Physics of Fluids. 34(12). 47 indexed citations

15.

Yousif, Mustafa Z., Linqi Yu, & Hee-Chang Lim. (2022). Super-resolution reconstruction of turbulent flow fields at various Reynolds numbers based on generative adversarial networks. Physics of Fluids. 34(1). 47 indexed citations

16.

Yousif, Mustafa Z., Linqi Yu, & Hee-Chang Lim. (2021). High-fidelity reconstruction of turbulent flow from spatially limited data using enhanced super-resolution generative adversarial network. Physics of Fluids. 33(12). 70 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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